ABS 2026 is a half-day workshop focused on population-aware biometrics across visual, physiological and behavioral modalities. The goal is to move from average-user pipelines to adaptive systems designed for diverse real-world users and conditions. It covers sensing, representation, learning, and evaluation protocols tailored to specific user groups and operational constraints.
The workshop invites work on adaptive modeling, multimodal fusion, benchmarking, bias and failure analysis, and real-world deployment across face, gait, person re-identification, ECG, EEG, inertial, and wearable data. Submissions should be in IEEE double-column conference format, up to 6 pages including references.
UTC, France
Shaanxi Normal University, China
ULPGC, Spain
ULPGC, Spain
ULPGC, Spain
Xidian University, China
University of Siena, Italy
University of Salerno, Italy
University of Salerno, Italy
Edinburgh Napier University, UK
UESTC, China
Sapienza University of Rome, Italy
UPB, Romania
Northumbria University, UK
SUSTech, China
Fordham University, USA
Stefan Cel Mare University, Romania
University of L'Aquila, Italy
University of L'Aquila, Italy
lucia.cimmino@unipegaso.it
cbisogni@unisa.it
c.pero@unilink.it
m.cascio@unilink.it
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